Artificial Intelligence for Drug Development, Precision Medicine, - and Healthcar

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare covers exciting developments at the intersection of computer science and statistics.

List of contents

1. Overview of Modern Artificial Intelligence. 2. Classic Statistics and Modern Machine Learning. 3. Similarity Principle- Fundamental Principle of All Sciences. 4. Similarity-Principle-Based Artificial Intelligence. 5. Artificial Neural Network. 6. Deep Learning Neural Network. 7. Kernel Methods. 8. Decision Tree and Ensemble Methods. 9. Bayesian Learning Approach. 10. Unsupervised Learning. 11. Reinforcement Learning. 12. Swarm and Evolutionary Intelligence. 13. Applications of AI in Medical Science and Drug Development. 14. Future Perspectives-Artificial General Intelligence.

About the author

Mark Chang is the founder of AGInception. With 12 published books, he is an adjunct professor at Boston University, an elected Fellow of the American Statistical Association, and a cofounder of the International Society for Biopharmaceutical Statistics.

Summary

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare covers exciting developments at the intersection of computer science and statistics.

Product details

• Authors: Mark Chang, Mark (Boston University Chang, Chang Mark
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 05.05.2020
• EAN: 9780367362928
• ISBN: 978-0-367-36292-8
• No. of pages: 372
• Series: Chapman & Hall/CRC Biostatistics Series
• Subjects: Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering; Social sciences, law, business > Business > General, dictionaries; MATHEMATICS / Probability & Statistics / General, Probability & statistics, Probability and statistics